{
 "metadata": {
  "name": "DataAnalisys"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import numpy as np\n",
      "import matplotlib.pyplot as plt"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 41
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "!ls -sht"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "total 3.4G\r\n",
        " 12K DataAnalisys.ipynb\t\t   131M N_40__T1_4__T2_30.dat\r\n",
        "8.0K gmon.out\t\t\t   104K Hist__Tl_Tr.pdf\r\n",
        "132M N_40__T1_4__T2_24.dat\t   132M N_40__T1_4__T2_15.dat\r\n",
        "   0 left0.dat\t\t\t   100K MB.dat\r\n",
        "   0 right0.dat\t\t\t    84K maxwellTest.dat\r\n",
        "132M N_40__T1_4__T2_20.dat\t   4.0K PlotTemperature.py\r\n",
        "132M N_40__T1_4__T2_16.dat\t   4.0K PlotTemperature.py~\r\n",
        "132M N_40__T1_4__T2_12.dat\t   4.0K RandomDistribution.cpp\r\n",
        "133M N_40__T1_4__T2_8.dat\t   660M N_40__T1_4__T2_8.dat.BIG\r\n",
        " 68K FLLJ\t\t\t   6.7M temporal.dat\r\n",
        " 96K FLLJ.o\t\t\t   116K MaxwellHistogram.pdf\r\n",
        " 12K FLLJ.cpp\t\t\t    80M dados.dat\r\n",
        "4.0K test\t\t\t    12K RandomDistribution\r\n",
        "940K joder.png\t\t\t   4.0K aaa.txt\r\n",
        "3.1M joder.pdf\t\t\t   444K data_test_gprof.dat\r\n",
        "100K Hist_Particles.pdf\t\t   4.0K Makefile\r\n",
        " 68K TempProfile__Tl_4__Tl_10.pdf  679M data_time_profile.dat\r\n",
        "3.1M XT_VxT__Tl_4__Tr_10.pdf\t   679M data_time\r\n",
        "132K Hist__Tl_4__Tr_10.pdf\t    43M teste01\r\n",
        "134M N_40__T1_4__T2_10.dat\t    28K shitAbs\r\n",
        " 16K right.dat\t\t\t   104K shit\r\n",
        " 16K left.dat\t\t\t   4.0K nbproject\r\n",
        "134M N_40__T1_4__T2_4.dat\t   4.0K jojo.txt\r\n",
        "131M N_40__T1_4__T2_40.dat\t   4.0K jeje.txt\r\n"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "heading",
     "level": 6,
     "metadata": {},
     "source": [
      "Files to analyse"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data = np.loadtxt(\"N_40__T1_4__T2_24.dat\")\n",
      "ttime=np.array(data[:,0])\n",
      "vel=np.array([data[:,2*i+1] for i in range(40)])\n",
      "pos=np.array([data[:,2*i+2] for i in range(40)])\n",
      "del data"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "font = {'family' : 'normal',\n",
      "         'weight' : 'bold',\n",
      "         'size'   : 50}\n",
      "plt.rc('font', **font)\n",
      "plt.rc('text', usetex=True)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "len(vel[0])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "200000"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "transient=50000\n",
      "m_every=10000"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.plot(ttime[transient:],vel[0][transient:], markevery=m_every, label=\"$vx_0$\")\n",
      "plt.plot(ttime[transient:],pos[0][transient:], markevery=m_every, label=\"$x_0$\")\n",
      "plt.grid()\n",
      "plt.legend(loc=5)\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fig, axes = plt.subplots(2, sharex=True)\n",
      "transient= 50000\n",
      "m_every = 10000\n",
      "for i in range(40):\n",
      "    axes[0].plot(ttime[transient:], vel[i][transient:], markevery=m_every)\n",
      "    axes[1].plot(ttime[transient:], pos[i][transient:], markevery=m_every)\n",
      "# Make it beuty\n",
      "axes[0].set_ylabel(\"$v_x$\")\n",
      "axes[1].set_ylabel(\"$x$\")\n",
      "axes[1].set_xlabel(\"$t$\")\n",
      "axes[0].locator_params(axis='y',nbins=4)\n",
      "axes[1].locator_params(axis='y',nbins=4)\n",
      "axes[0].grid()\n",
      "axes[1].grid()\n",
      "plt.subplots_adjust(bottom=0.15)\n",
      "#plt.tight_layout()\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 22
    },
    {
     "cell_type": "heading",
     "level": 6,
     "metadata": {},
     "source": [
      "Temperature Profile"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "transient=40000\n",
      "Temp=vel[:,transient:].var(axis=1)\n",
      "len(ttime)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 62,
       "text": [
        "200000"
       ]
      }
     ],
     "prompt_number": 62
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.plot(ttime[transient:],vel[0,transient:])\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 60
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Temp=vel[:,transient:].var(axis=1)\n",
      "#plt.ylim([0,8])\n",
      "plt.plot(Temp,'o-')\n",
      "#plt.plot(vel[:,transient:].mean(axis=1),'x-')\n",
      "plt.xlabel(\"$n$\")\n",
      "plt.ylabel(\"$T$\")\n",
      "plt.grid()\n",
      "plt.subplots_adjust(bottom=0.15)\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 30
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "$T_l = 4$ and $T_r=10$ so the temperature must be $ T = \\sqrt{4 \\times 10} $"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "np.sqrt(24*4)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 29,
       "text": [
        "9.7979589711327115"
       ]
      }
     ],
     "prompt_number": 29
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Temp"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 69,
       "text": [
        "array([ 5.4106758 ,  5.82835432,  6.08397711,  5.96627543,  5.75135946,\n",
        "        6.14756742,  5.96940703,  5.95897513,  6.03581153,  5.89443757,\n",
        "        5.81959888,  5.79803528,  6.11387198,  6.06873332,  6.05930705,\n",
        "        6.04404451,  6.42283247,  6.18789778,  6.32958263,  6.22427925,\n",
        "        6.28955294,  6.35845808,  6.47445515,  6.62391322,  6.2679702 ,\n",
        "        6.26128697,  6.06870146,  5.84400643,  5.91177608,  5.77917463,\n",
        "        5.88263277,  5.92395201,  5.97668798,  5.84887555,  5.80153284,\n",
        "        5.85308128,  5.85956808,  6.11950694,  5.81343408,  6.32163123])"
       ]
      }
     ],
     "prompt_number": 69
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "meanTemp = [ Temp[i:40-i].mean() for i in range(20)]\n",
      "plt.plot(meanTemp)\n",
      "plt.grid()\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 91
    },
    {
     "cell_type": "heading",
     "level": 6,
     "metadata": {},
     "source": [
      "particle velocities distribution"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "range(10,40,10)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 101,
       "text": [
        "[10, 20, 30]"
       ]
      }
     ],
     "prompt_number": 101
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "transient=40000\n",
      "plt.hist(vel[0,transient:], normed=True, alpha=1.0, label=\"$n=0$\", histtype=\"step\", bins=20, ls=\"dashed\", lw=2)\n",
      "for i in range(10, 40, 10):\n",
      "    plt.hist(vel[i,transient:], normed=True, alpha=0.8, label=\"$n=\"+str(i)+\"$\", histtype=\"step\", bins=20, lw=3)\n",
      "plt.hist(vel[39,transient:], normed=True, alpha=1.0, label=\"$n=39$\", histtype=\"step\", bins=20, ls=\"dotted\", lw=2, color=\"black\")\n",
      "plt.xlabel(\"$v_x$\")\n",
      "plt.legend(loc=2, prop={'size':20})\n",
      "plt.subplots_adjust(bottom=0.15)\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 141
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Looks like all the particles have the same distribution, but what is the distribution?"
     ]
    },
    {
     "cell_type": "heading",
     "level": 6,
     "metadata": {},
     "source": [
      "bath velocities distribution"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "lll=np.loadtxt(\"left.dat\")\n",
      "rrr=np.loadtxt(\"right.dat\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print lll[:,1].var(), rrr[:,1].var()\n",
      "print lll[:,1].mean(), rrr[:,1].mean()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "1.60975440378 4.31434538791\n",
        "2.38329765675 -3.93735298039\n"
       ]
      }
     ],
     "prompt_number": 26
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "def phi1KT(x, KT):\n",
      "  return (x/KT)*np.exp(-0.5*(x**2)/KT)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 31
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "X = np.arange(0,10,0.1)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 32
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.plot(X,phi1KT(X,4), label=\"$ \\phi_1(v_x,KT/m = 4) $\")\n",
      "plt.plot(-X,phi1KT(X,10), label=\"$ \\phi_1(v_x,KT/m = 10) $\")\n",
      "plt.hist(lll[:,1], normed=True, alpha=0.5, bins=10, label=\"$l$\")\n",
      "plt.hist(rrr[:,1], normed=True, alpha=0.5, bins=10, label=\"$r$\")\n",
      "plt.legend(loc=2, prop={'size':20})\n",
      "plt.xlabel(\"$v_x$\")\n",
      "plt.subplots_adjust(bottom=0.15)\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 48
    },
    {
     "cell_type": "heading",
     "level": 6,
     "metadata": {},
     "source": [
      "Other temperatures"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "for i in range(4,28,4):\n",
      "    print \"N_40__T1_4__T2_\"+str(i)+\".dat\""
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "N_40__T1_4__T2_4.dat\n",
        "N_40__T1_4__T2_8.dat\n",
        "N_40__T1_4__T2_12.dat\n",
        "N_40__T1_4__T2_16.dat\n",
        "N_40__T1_4__T2_20.dat\n",
        "N_40__T1_4__T2_24.dat\n"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "aaa=[\"N_40__T1_4__T2_\"+str(i)+\".dat\" for i in range(4,28,4)]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 31
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "aaa"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 32,
       "text": [
        "['N_40__T1_4__T2_4.dat',\n",
        " 'N_40__T1_4__T2_8.dat',\n",
        " 'N_40__T1_4__T2_12.dat',\n",
        " 'N_40__T1_4__T2_16.dat',\n",
        " 'N_40__T1_4__T2_20.dat',\n",
        " 'N_40__T1_4__T2_24.dat']"
       ]
      }
     ],
     "prompt_number": 32
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "\n",
      "font = {'family' : 'normal',\n",
      "         'weight' : 'bold',\n",
      "         'size'   : 50}\n",
      "plt.rc('font', **font)\n",
      "plt.rc('text', usetex=True)\n",
      "\n",
      "transient= 100000\n",
      "m_every = 5000\n",
      "Tr=range(4,48,4)\n",
      "arquivos = [[\"N_40__T1_4__T2_\"+str(i)+\".dat\", i] for i in Tr]\n",
      "Temp=np.zeros(len(arquivos)*40).reshape(len(arquivos),40)\n",
      "for w in range(len(arquivos)):\n",
      "  data = np.loadtxt(arquivos[w][0])\n",
      "  ttime=np.array(data[:,0])\n",
      "  vel=np.array([data[:,2*i+1] for i in range(40)])\n",
      "  #pos=np.array([data[:,2*i+2] for i in range(40)])\n",
      "  del data\n",
      "\n",
      "  Temp[w]=vel[:,transient:].var(axis=1)\n",
      "\n",
      "  #plt.ylim([0,8])\n",
      "  #plt.plot(Temp[w],'o-', label=\"$T_r=\"+str(arquivos[w][1])+\"$\")\n",
      "\n",
      "#plt.plot(vel[:,transient:].mean(axis=1),'x-')\n",
      "#plt.xlabel(\"$n$\")\n",
      "#plt.ylabel(\"$T$\")\n",
      "#plt.grid()\n",
      "#plt.legend()\n",
      "#plt.subplots_adjust(bottom=0.15)\n",
      "#plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "[[ 3.92830602  3.9198699   3.93576787  3.99570049  3.99755543  3.88371942\n",
        "   3.92441675  3.972028    4.0376467   4.06640701  4.05054636  4.10364196\n",
        "   4.04499869  4.15629198  4.12699737  4.04474746  3.99473657  3.9327088\n",
        "   4.05181084  3.9456976   3.88685599  3.96355636  3.86309205  3.86785276\n",
        "   3.96081002  3.93654387  3.80967312  3.90763538  4.02930298  3.96752051\n",
        "   3.95187193  3.96898295  3.86494042  3.88169111  3.89213479  3.86579615\n",
        "   3.88666297  3.96273241  3.9995543   3.88598594]\n",
        " [ 0.          0.          0.          0.          0.          0.          0.\n",
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        "   13.73452956  13.89729516  13.98154478  13.75341316  13.52609877\n",
        "   13.7422974   13.97881883  13.90263231  14.13390382  14.68252949]\n",
        " [ 11.46254846  13.64368286  13.64703432  13.52526938  13.61338301\n",
        "   13.86203568  13.75340149  13.97915284  13.96170759  13.94684047\n",
        "   13.87686565  13.8476111   13.72606902  13.81585564  13.6510644\n",
        "   13.86976932  13.74199203  13.95269436  13.99697057  14.14319966\n",
        "   14.19575896  14.32437713  14.37115118  14.11955619  14.14561761\n",
        "   14.25872612  14.38035454  14.12583837  14.49249665  14.35493103\n",
        "   14.42364871  14.4022862   14.38472256  14.5260877   14.55825968\n",
        "   14.68215278  14.64366578  14.80582026  14.71279272  15.44655523]\n",
        " [  0.           0.           0.           0.           0.           0.\n",
        "    0.           0.           0.           0.           0.           0.\n",
        "    0.           0.           0.           0.           0.           0.\n",
        "    0.           0.           0.           0.           0.           0.\n",
        "    0.           0.           0.           0.           0.           0.\n",
        "    0.           0.           0.           0.           0.           0.\n",
        "    0.           0.           0.           0.        ]]"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "[[  3.92830602   3.9198699    3.93576787   3.99570049   3.99755543\n",
        "    3.88371942   3.92441675   3.972028     4.0376467    4.06640701\n",
        "    4.05054636   4.10364196   4.04499869   4.15629198   4.12699737\n",
        "    4.04474746   3.99473657   3.9327088    4.05181084   3.9456976\n",
        "    3.88685599   3.96355636   3.86309205   3.86785276   3.96081002\n",
        "    3.93654387   3.80967312   3.90763538   4.02930298   3.96752051\n",
        "    3.95187193   3.96898295   3.86494042   3.88169111   3.89213479\n",
        "    3.86579615   3.88666297   3.96273241   3.9995543    3.88598594]\n",
        " [  5.42598179   5.52182011   5.556592     5.49881305   5.59574314\n",
        "    5.61948723   5.59120817   5.46719776   5.55651564   5.63647587\n",
        "    5.70157372   5.76172727   5.7457413    5.69208759   5.73305931\n",
        "    5.73177182   5.76437018   5.82179517   5.81203424   5.79242305\n",
        "    5.78866432   5.72688948   5.7863951    5.73655933   5.73693462\n",
        "    5.7042546    5.72664575   5.75848236   5.80877159   5.77657271\n",
        "    5.84372434   5.8890583    5.81984613   5.88835097   5.90568955\n",
        "    5.8756075    5.87850623   5.93924074   5.8273455    6.0194097 ]\n",
        " [  6.53486688   7.1228086    7.13889419   7.16294174   7.19326223\n",
        "    7.16537208   7.13555435   7.18418634   7.15780023   7.21505946\n",
        "    7.18522756   7.11183954   7.14480327   7.1075885    7.1681492\n",
        "    7.12580173   7.08019507   7.08331743   7.12591057   7.12314655\n",
        "    7.05143714   7.12428375   7.17345636   7.30314164   7.2554551\n",
        "    7.30887477   7.34793867   7.27984036   7.42975485   7.45843422\n",
        "    7.40306474   7.36727342   7.34829143   7.26880964   7.2776735\n",
        "    7.26247706   7.30896659   7.23180715   7.21581258   7.49463102]\n",
        " [  7.62072424   8.24968962   8.28105837   8.29671512   8.19065269\n",
        "    8.03736469   8.14332574   8.14574218   8.12881655   8.13887928\n",
        "    8.10573693   8.13954925   8.02254941   8.00311647   8.09124714\n",
        "    8.08710343   8.17413309   8.00714299   8.14356557   8.25748262\n",
        "    8.04326721   8.06593871   8.10446088   8.04846227   8.04117079\n",
        "    8.13603686   8.12416436   8.27271916   8.31337735   8.37878822\n",
        "    8.38438296   8.2701278    8.40356056   8.30797733   8.30145064\n",
        "    8.24294924   8.34800768   8.35828907   8.51900102   8.676991  ]\n",
        " [  8.59902464   9.5397115    9.43659767   9.48454425   9.60329219\n",
        "    9.45385064   9.55476622   9.64128962   9.55548646   9.65971204\n",
        "    9.50949552   9.62491514   9.51796604   9.66849105   9.68391249\n",
        "    9.64748529   9.7111229    9.64424534   9.59859942   9.6557888\n",
        "    9.63886093   9.66870477   9.77591708   9.8283432    9.78167225\n",
        "    9.64625268   9.58496578   9.59808936   9.58198791   9.54238574\n",
        "    9.64135911   9.73430136   9.76507171   9.70071299   9.55466631\n",
        "    9.56851328   9.70103988   9.74332301   9.55191552  10.13532884]\n",
        " [  9.34493509  10.42102335  10.52222435  10.57505256  10.35624758\n",
        "   10.45931289  10.47862106  10.61408922  10.54589364  10.52981313\n",
        "   10.71167947  10.62886438  10.55295336  10.63860582  10.650284\n",
        "   10.59232711  10.61972321  10.62934466  10.67794991  10.59122086\n",
        "   10.47791679  10.51929671  10.68274247  10.69581946  10.74070103\n",
        "   10.7370029   10.73482135  10.81052623  10.77833157  10.67642831\n",
        "   10.76313591  10.69339999  10.756394    10.683831    10.70587372\n",
        "   10.69956969  10.80932134  10.82445276  10.7582038   11.28460813]\n",
        " [ 10.01732405  11.3848634   11.22591137  11.57400101  11.34754484\n",
        "   11.21216958  11.25538218  11.35114669  11.43610513  11.48910002\n",
        "   11.43926852  11.66272876  11.70081807  11.55135602  11.3160593\n",
        "   11.39577536  11.61611961  11.53827207  11.48394027  11.61099502\n",
        "   11.57782663  11.65115647  11.67558664  11.53164777  11.81747989\n",
        "   11.66454103  11.76699445  11.71314191  11.80017313  11.74372716\n",
        "   11.77024123  11.80989632  11.61667536  11.82076494  11.77760997\n",
        "   11.77458902  11.73290941  11.81833615  11.93978136  12.49689886]\n",
        " [ 10.28928124  11.89942473  11.89073751  11.72595801  11.79191568\n",
        "   11.94676639  11.92588738  12.20763903  12.13312822  12.12947545\n",
        "   12.14175284  11.96142087  12.28200784  11.94311227  11.91717579\n",
        "   11.86535163  11.97885185  11.90301855  12.20183313  12.2572077\n",
        "   12.25029252  12.23392677  12.07766992  12.26430894  12.19991321\n",
        "   12.04757533  12.27872185  12.271778    12.46774581  12.55661377\n",
        "   12.4746382   12.58914885  12.71648469  12.54103745  12.52520884\n",
        "   12.4795579   12.39661564  12.60158377  12.45463084  13.14902108]\n",
        " [ 11.04917649  13.08353878  12.83772864  12.96891978  12.89136635\n",
        "   13.2332477   13.38895598  13.11775107  13.39377225  13.2578665\n",
        "   13.43015529  13.4631701   13.49499124  13.36568122  13.3201923\n",
        "   13.4262881   13.43264702  13.2225156   13.32599216  13.54266975\n",
        "   13.6213642   13.78138947  13.63678523  13.74680422  13.7284977\n",
        "   13.43645419  13.43174274  13.62486473  13.44139102  13.65274595\n",
        "   13.73452956  13.89729516  13.98154478  13.75341316  13.52609877\n",
        "   13.7422974   13.97881883  13.90263231  14.13390382  14.68252949]\n",
        " [ 11.46254846  13.64368286  13.64703432  13.52526938  13.61338301\n",
        "   13.86203568  13.75340149  13.97915284  13.96170759  13.94684047\n",
        "   13.87686565  13.8476111   13.72606902  13.81585564  13.6510644\n",
        "   13.86976932  13.74199203  13.95269436  13.99697057  14.14319966\n",
        "   14.19575896  14.32437713  14.37115118  14.11955619  14.14561761\n",
        "   14.25872612  14.38035454  14.12583837  14.49249665  14.35493103\n",
        "   14.42364871  14.4022862   14.38472256  14.5260877   14.55825968\n",
        "   14.68215278  14.64366578  14.80582026  14.71279272  15.44655523]\n",
        " [ 12.05808808  14.83356254  14.65135686  14.55292477  14.69517317\n",
        "   14.80468894  14.57387478  14.74856067  14.97060121  14.80352837\n",
        "   14.72904991  14.93378527  14.79099826  14.95369158  15.02611287\n",
        "   14.92686242  14.71632471  14.62038819  14.78111284  14.6709099\n",
        "   14.70492987  14.84140255  15.01624166  14.89362813  14.67173102\n",
        "   15.05407866  14.98703936  15.25113547  15.18567787  15.59418286\n",
        "   15.35392433  15.29070424  15.3516528   15.62149136  15.52453578\n",
        "   15.50791327  15.71467574  15.61141181  15.90918067  16.36002404]]"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "for w in range(len(arquivos)):\n",
      "    plt.plot(Temp[w],'o-', label=\"$T_r=\"+str(arquivos[w][1])+\"$\")\n",
      "#plt.plot(vel[:,transient:].mean(axis=1),'x-')\n",
      "plt.ylim([0,17])\n",
      "plt.xlabel(\"$n$\")\n",
      "plt.ylabel(\"$T$\")\n",
      "plt.grid()\n",
      "plt.legend(loc=8, prop={'size':20}, mode=\"expand\", ncol=6)\n",
      "plt.subplots_adjust(bottom=0.15)\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "  Temp[w].mean(axis=1)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": []
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Temp[0]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 9,
       "text": [
        "array([ 3.92830602,  3.9198699 ,  3.93576787,  3.99570049,  3.99755543,\n",
        "        3.88371942,  3.92441675,  3.972028  ,  4.0376467 ,  4.06640701,\n",
        "        4.05054636,  4.10364196,  4.04499869,  4.15629198,  4.12699737,\n",
        "        4.04474746,  3.99473657,  3.9327088 ,  4.05181084,  3.9456976 ,\n",
        "        3.88685599,  3.96355636,  3.86309205,  3.86785276,  3.96081002,\n",
        "        3.93654387,  3.80967312,  3.90763538,  4.02930298,  3.96752051,\n",
        "        3.95187193,  3.96898295,  3.86494042,  3.88169111,  3.89213479,\n",
        "        3.86579615,  3.88666297,  3.96273241,  3.9995543 ,  3.88598594])"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Temp[0,5:35].mean()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "3.9696286586249299"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Tc=Temp[:,5:35].mean(axis=1)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 17
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Tc"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 18,
       "text": [
        "array([  3.96962866,   5.74414358,   7.21705605,   8.16072135,\n",
        "         9.63901394,  10.64589681,  11.59322332,  12.20965644,\n",
        "        13.51369391,  14.10630141,  14.97976153])"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.plot(range(4,48,4), Tc)\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 23
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "Tr=range(4,48,4)\n",
      "XX=np.arange(4,44, 0.01)\n",
      "YY=np.sqrt(4.0*XX)\n",
      "plt.plot(Tr, Tc, 'o-')\n",
      "plt.plot(XX, YY, '--')\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 27
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}